code: def __init__(self, reset_at, emit_at, mode):
      self._mac = MAC()
  
      super(MACPluginMetric, self).__init__(
          self._mac, reset_at=reset_at, emit_at=emit_at, mode=mode
      )
  
imports: from torch.nn import Module
  from typing import List, Optional
  from torch import Tensor
  from avalanche.evaluation import Metric, PluginMetric, GenericPluginMetric
label_desc: Use image node_id 1 to create a new MACPluginMetric object from inherited base classes: GenericPluginMetric with example: obj = MACPluginMetric(reset_at, emit_at, mode)